Wintellect Accepted Into the Microsoft AI Inner Circle Program

Wintellect is proud to have been selected as one of an elite group of invitation-only Microsoft partners to join Microsoft’s new AI Inner Circle Partner Program. “We are excited to be part of this exclusive group, and look forward to deepening our partnership with Microsoft and jointly advancing business transformations for our customers with AI,”…

Using the Cognitive Services Text Analytics API: Sentiment Analysis

In our previous post, we feed Twitter data to the Text Analytics API which was able to detect the language of each tweet. We will expand upon our previous work and continue to use the API and our Twitter data to determine the sentiment of each tweet. By analyzing the sentiment of each tweet, we’re…

Building Language Intelligent Apps with Microsoft’s LUIS

To aid in building applications that have better natural language understanding, Microsoft came out with LUIS or Language Understanding Intelligent Services. LUIS can be used for understanding speech for the Bot Framework, Bing Speech, or even with Cortana. In this post, we’ll learn how to create a LUIS app, apply basic LUIS concepts, and how…

Pre-processing Text Data with NLTK and Azure Machine Learning

Data comes in all forms. Lately, we’ve been going over mostly numerical and categorical data. Even though the categorical data contains words, we transform it into numerical data for our algorithms. However, what if your data is only words? That’s where natural language processing comes in, and in this post, we’ll go over the basics…

Beginning Statistics for Data Science: Analyzing Data

In our last post we discussed different types your data can have. Now let’s focus on how to analyze on those types of data. Python code will be used to demonstrate a few of these concepts. To get things start in regards to the Python code, let’s go ahead and import our packages and review…

Beginning Statistics for Data Science: Types of Data

Statistics is becoming a must learn topic for anyone looking to get into data science. Look at any data scientist job posting, and you will be hard-pressed to find a listing that does not mention a degree in statistics, mathematics, or some experience in analytics as a minimum qualification. Courses in data science are including…

Creating Web Apps for Your Machine Learning Models with Dash

In the last post, we created APIs for our machine learning models so they could be deployed and clients could invoke them. However, what if you just wanted a simple web page that included interactive and attractive graphs? That’s where Dash comes to the rescue. Dash is similar to Shiny, a framework to build interactive…

Creating a Machine Learning Web API with Flask

In our previous post, we went over how to create a simple linear regression model with scikit-learn and how to use it to make predictions. But, that’s not very useful for anyone other than the creator of the model since it’s only available on their machine. In this post, we’ll go over how to use…

Rust, Python, Go Among Most Valued Languages in Developer Survey

Stack Overflow has released results of its 2017 Developer Survey, and they paint an interesting picture of the languages developers love and abhor. Developers are crushing on Mozilla’s Rust, which earned top honors as the most-loved programming language among the 64,000 coders worldwide who answered the annual survey by Stack Overflow, a social network and…